8 citations · 8 across the 1 of their papers we have counts for
4 papers
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka +66
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. We study state-of-the-art generative models on four calorimeter shower datasets of i…
DeepTreeGANv2: Iterative Pooling of Point Clouds
Moritz Alfons Wilhelm Scham, Dirk Krücker, Kerstin Borras
In High Energy Physics, detailed and time-consuming simulations are used for particle interactions with detectors. To bypass these simulations with a generative model, the generati…
DeepTreeGAN: Fast Generation of High Dimensional Point Clouds
Moritz Alfons Wilhelm Scham, Dirk Krücker, Benno Käch +1
In High Energy Physics, detailed and time-consuming simulations are used for particle interactions with detectors. To bypass these simulations with a generative model, the generati…
JetFlow: Generating Jets with Conditioned and Mass Constrained Normalising Flows
Benno Käch, Dirk Krücker, Isabell Melzer-Pellmann +3
Fast data generation based on Machine Learning has become a major research topic in particle physics. This is mainly because the Monte Carlo simulation approach is computationally…